Channel Coding and Source Coding
For Lee - Communication Simulation Experiments focusing on Channel Coding and Source Coding implementations
MATLAB Simulation Programs for Channel Coding
This is a comprehensive MATLAB simulation package for channel coding, containing multiple modular subroutines with excellent usability and practical implementation features.
Practical Simulation Techniques for Spread Spectrum Communication Systems
Complete source code repository from the book "Practical Simulation Techniques for Spread Spectrum Communication Systems," featuring implementations of channel coding/decoding (including LDPC codes), spread spectrum modulation, carrier modulation, PN code synchronization, narrowband interference suppression, direct sequence spread spectrum system simulations, and frequency hopping system simulations with detailed algorithm explanations and MATLAB/Python code structures.
Generation Process of Digital Fountain Codes (Channel Coding) Implementation
Custom implementation of digital fountain codes (channel coding) generation process with algorithm explanations and code structure insights.
Source Code Analysis of PDSCH Link-Level Simulation Process
Analysis of LTE PDSCH link-level simulation source code, including channel coding, precoding, and OFDM modulation implementations with algorithm explanations
RS-BCH Reed-Solomon Channel Coding Error Correction Algorithm
RS-BCH Reed-Solomon Channel Coding Error Correction Algorithm Implementation using MATLAB Programming
MATLAB and SIMULINK Simulation of Turbo Codes for Wireless Communication Channel Coding
A comprehensive MATLAB and SIMULINK simulation program for Turbo codes in wireless communication channel coding, featuring encoder/decoder implementation, performance analysis, and parameter optimization studies.
Viterbi Algorithm Implementation for Convolutional Coding in Communication Systems
This project contains MATLAB m-files that simulate a communication system incorporating convolutional channel encoding and Viterbi decoding algorithms for research purposes.
Convolutional Coding for Channel Encoding
The system implements convolutional coding with Viterbi decoding algorithm, supporting both QPSK and 16QAM modulation schemes across AWGN and Rayleigh channel models for comprehensive performance evaluation.
Communication Process Simulation: Source Generation, Channel Coding, Modulation, Transmission, Demodulation, Decoding, and Error Comparison
Simulink-based Simulation Methodology for Communication Processes including Source Generation, Channel Coding, Modulation, Channel Transmission, Demodulation, Channel Decoding, and Error Comparison. Performance Analysis of Multiple Modulation Schemes (2FSK, 2PSK, QPSK, 16PSK, 16QAM) under Various Signal-to-Noise Ratio Conditions.